2004
DOI: 10.1109/twc.2004.827736
|View full text |Cite
|
Sign up to set email alerts
|

A Generalized Space–Time Multiple-Input Multiple-Output (MIMO) Channel Model

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
36
0

Year Published

2006
2006
2014
2014

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 69 publications
(36 citation statements)
references
References 21 publications
0
36
0
Order By: Relevance
“…To characterize the transformation dyad in (3) for any of the scenarios, we assume the channel entries Gaussian and that the scatterers are independent and randomly change the plane wave impinging in direction to . Furthermore, we assume a separable model for the joint power angular spectrum (PAS) [13] and the angle between the field pattern in the transmitter/receiver and the electric field scattered noted as and , respectively.…”
Section: A Diversity Scenariosmentioning
confidence: 99%
“…To characterize the transformation dyad in (3) for any of the scenarios, we assume the channel entries Gaussian and that the scatterers are independent and randomly change the plane wave impinging in direction to . Furthermore, we assume a separable model for the joint power angular spectrum (PAS) [13] and the angle between the field pattern in the transmitter/receiver and the electric field scattered noted as and , respectively.…”
Section: A Diversity Scenariosmentioning
confidence: 99%
“…The channel transfer function between receiver u and transmitter s at path n and time t is determined by the superposition of a large number of sinusoidal subpaths [35] as follows:…”
Section: F Generation Of Fast-fading Coefficientsmentioning
confidence: 99%
“…In [35], a hybrid model has been proposed to represent a general MIMO channel using a hybrid representation of the angular spectrum at the mobile and correlated fading at the base, once second-order statistics, such as power delay and angular spectra are specified. The current work represents the MIMO channel as a superposition of clustered constituents, with stochastic powers, angles of departure (AoD) and arrival (AoA), as well as times of arrival.…”
mentioning
confidence: 99%
“…Gaussian entries, which is an idealistic assumption especially for indoor scenarios. More realistic MIMO channel models can be generally divided into three classes: ray-tracing, scattering, and correlation models [9]. In spite of providing good prediction of the channel behavior, ray-tracing and scattering methods suffer from substantial simulation time and complexity which become prohibitive issues in complex environments.…”
Section: Introductionmentioning
confidence: 99%